Research Areas
Scientometrics (Systematic Review & Meta-analysis)
To set priorities for livestock health policy, such as funding for veterinary health interventions and planning for curbing the burden of livestock diseases, it is necessary to have accurate data on the prevalence of livestock diseases in India. With an increase in submission of research articles, the value of systematic review and meta-analysis for summarizing the results is greatly acknowledged. Meta-analysis is a statistical method that combines and synthesizes multiple studies and integrates their results.
Meta Analysis to measure disease burden
- A systematic review and meta-analysis on the prevalence of infectious diseases of Duck.
- Meta-analysis of the prevalence of livestock diseases in North Eastern Region of India.
Bio-Informatics
Bioinformatics is the application of computational technology to handle the rapidly growing repository of information related to molecular biology. It is particularly useful for managing and analyzing large sets of data, such as those generated by the fields of genomics and proteomics.
- Comprehensive immunoinformatics approach for developing a multi-epitope subunit vaccine against lumpy skin disease
- Comparative transcriptomic and machine learning analysis identifies key genes and immune dysregulation in goats exposed to peste des petits ruminants virus